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S Jora betting stats, splits & projections

Batter

Every figure below is counted from stored ball-by-ball deliveries — no estimates, no averages copied from elsewhere. Splits with fewer balls behind them are marked LOW sample and carry less weight in the model.

Record by format

Formats are never pooled: a twenty-over record tells you nothing about fifty-over scoring, so they are modelled and shown separately.

overallT202740433419.2121.012.638.3HIGH
overallODI437479.378.710.661.7LOW

Why we like it

Splits where S Jora scores materially faster or lasts materially longer than their own baseline in the same format.

  • Opposition: West Indies (T20)LOW sample

    86 runs off 60 balls in 3 T20 matches — strike rate 143.3 vs 121.0 overall, average 28.7 vs 19.2 overall.

  • Venue: Sharjah Cricket Stadium (T20)LOW sample

    86 runs off 60 balls in 3 T20 matches — strike rate 143.3 vs 121.0 overall, average 28.7 vs 19.2 overall.

  • Bowling type: PACE (T20)LOW sample

    151 runs off 114 balls in 20 T20 matches — strike rate 132.5 vs 121.0 overall, average 16.8 vs 19.2 overall.

  • Phase: death (T20)LOW sample

    111 runs off 72 balls in 12 T20 matches — strike rate 154.2 vs 121.0 overall, average 13.9 vs 19.2 overall.

Risks

Splits pointing the other way — the conditions and opponents where the record is worse than usual.

  • Bowling type: SPIN (T20)MEDIUM sample

    203 runs off 180 balls in 22 T20 matches — strike rate 112.8 vs 121.0 overall, average 20.3 vs 19.2 overall.

  • Venue: Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1) (T20)LOW sample

    125 runs off 114 balls in 9 T20 matches — strike rate 109.6 vs 121.0 overall, average 25.0 vs 19.2 overall.

  • Venue: Tribhuvan University International Cricket Ground, Kirtipur (T20)LOW sample

    69 runs off 72 balls in 7 T20 matches — strike rate 95.8 vs 121.0 overall, average 11.5 vs 19.2 overall.

Against each opponent

Head-to-head record by format. Small head-to-head samples move the model very little — read the sample column before leaning on a line here.

United Arab EmiratesT204706023.3116.713.338.3LOW
West IndiesT203866028.7143.316.738.3LOW
Hong KongT205475623.583.95.442.9LOW
Papua New GuineaT202733936.5187.225.623.1LOW
MalaysiaT203453845.0118.410.536.8LOW
NamibiaODI2313115.5100.012.951.6LOW

By venue

Ground-by-ground record. Venue effects are real but slow to prove, so grounds with few balls are shown for transparency rather than used as evidence.

Al Amerat Cricket Ground Oman Cricket (Ministry Turf 1)T20912511425.0109.67.932.5LOW
Tribhuvan University International Cricket Ground, KirtipurT207697211.595.89.741.7LOW
Sharjah Cricket StadiumT203866028.7143.316.738.3LOW
Tribhuvan University International Cricket Ground, KirtipurODI437479.378.710.661.7LOW
Mission Road Ground, Mong Kok, Hong KongT203754325.0174.423.327.9LOW

By country

Conditions vary more by country than by ground; this is the broader pitch-and-conditions view.

UnknownT202431827417.7116.111.738.3MEDIUM
United Arab EmiratesT203866028.7143.316.738.3LOW
UnknownODI437479.378.710.661.7LOW

By match phase

Powerplay, middle overs and death. Phase splits drive the simulated scoring rate ball by ball.

middleT202125722121.4116.312.737.6MEDIUM
deathT20121117213.9154.215.331.9LOW
powerplayT206364136.087.87.353.7LOW

Against pace and spin

Record against each bowling type faced, rolled up when a finer category has too few balls.

SPINT202220318020.3112.811.740.0MEDIUM
PACET202015111416.8132.512.336.8LOW
UNKNOWNT209504025.0125.017.535.0LOW

How these splits are used

The same aggregates feed the ball-by-ball simulation behind every projection: format baselines, phase scoring rates, the bowling types a batter will face and the expected attack. See the current match projections on the cricket betting hub and the model's tested record on the cricket model performance page.